The risk of cardiovascular disease (CVD) is a serious health threat to human society
worldwide. The use of machine learning methods to predict the risk of CVD is of great …

Artificial intelligence (AI) and machine learning (ML) is a promising field of cardiovascular
medicine. Many AI tools have been shown to be efficacious with a high level of accuracy …

Cardiovascular disease prediction aids practitioners in making more accurate health
decisions for their patients. Early detection can aid people in making lifestyle changes and, if …

Objectives Identifying high-risk patients is crucial for effective cardiovascular disease (CVD)
prevention. It is not known whether electronic health record (EHR)-based machine-learning …

An optimizer is the process of hyperparameter tuning that updates the machine learning
model after each step of weight loss adjustment of input features. The permutation and …

With the advent of voluminous medical database, healthcare analytics in big data have
become a major research area. Healthcare analytics are playing an important role in big …

Background The field of precision medicine endeavors to transform the healthcare industry
by advancing individualised strategies for diagnosis, treatment modalities, and predictive …

This study developed an office-based cardiovascular risk calculator using a machine
learning (ML) algorithm that utilized a focused carotid ultrasound. The design of this study …

Heart disease is a severe disorder, which inflicts an adverse burden on all societies and
leads to prolonged suffering and disability. We developed a risk evaluation model based on …

Personalized medicine is being realized by our ability to measure biological and
environmental information about patients. Much of these data are being stored in electronic …